• Y.Pavan Raju
• J.Maheswar Reddy
• S.Giriprasad

Agriculture is one of the main factor that decides the growth of any country. In India itself around 65% of the population is based on agriculture. Because of different occasional circumstances the harvests get contaminated by different sort of diseases. These diseases initially influence the leaves of the plant and later contaminated the entire plant which thus influence the quality and amount of yield developed. As there are huge number of plants in the homestead, it turns out to be undeniably challenging for the natural eye to recognize and order the disease of each plant in the field. And it is vital to analyze each plant on the grounds that these diseases might spread. Thus in this paper we are presenting the artificial intelligence based automatic plant leaf disease detection and classification for quick and easy detection of disease and then characterizing it and performing expected solutions for fix that disease. This methodology of our own objectives towards expanding the efficiency of harvests in horticulture.In this approach we have follow several steps i.e. image collection, image preprocessing, segmentation and classification.

CROP YIELD PREDICTION IN AGRICULTURE USING PRODUCTIVITY AND SEASON DATA

"CROP YIELD PREDICTION IN AGRICULTURE USING PRODUCTIVITY AND SEASON DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.i184-i188, April-2022, Available :http://www.jetir.org/papers/JETIR2204820.pdf

"CROP YIELD PREDICTION IN AGRICULTURE USING PRODUCTIVITY AND SEASON DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppi184-i188, April-2022, Available at : http://www.jetir.org/papers/JETIR2204820.pdf